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MiniMax M1 40K vs Muse Spark Open

Muse Spark Open leads the LLM Stats Score 45.3 to 20.0.

MiniMax · Meta · Updated for 2026

Which is better?

Muse Spark Open leads the overall LLM Stats Score 45.3 to 20.0, ranking #42 overall.

In the 1 individual benchmarks reported for both models, Muse Spark Open wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose MiniMax M1 40K

  • you are already invested in the MiniMax ecosystem

Choose Muse Spark Open

  • overall performance matters — it scores 45.3 and ranks #42 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
20.0
#220
45.3
#42
20.2
#210
45.7
#35
7.7
#205
33.5
#40
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$1.25 / M
Output price
— / M
$4.25 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
MiniMax M1 40K
Muse Spark Open
17.9#200
33.3#58
12.7#120
23.3#45
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for MiniMax M1 40K · 17 for Muse Spark Open

1 shared

MiniMax M1 40K outperforms in 0 benchmarks, while Muse Spark Open is better at 1 benchmark (GPQA).

Muse Spark Open significantly outperforms across most benchmarks.

Fri Oct 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

360.0B diff

Muse Spark Open has 360.0B more parameters than MiniMax M1 40K, making it 78.9% larger.

MiniMax
MiniMax M1 40K
456.0Bparameters
Meta
Muse Spark Open
816.0Bparameters
456.0B
MiniMax M1 40K
816.0B
Muse Spark Open

Context Window

Maximum input and output token capacity

Only Muse Spark Open specifies input context (1,048,576 tokens). Only Muse Spark Open specifies output context (1,048,576 tokens).

MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Meta
Muse Spark Open
Input1,048,576 tokens
Output1,048,576 tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark Open supports multimodal inputs, whereas MiniMax M1 40K does not.

Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiniMax M1 40K

Text
Images
Audio
Video

Muse Spark Open

Text
Images
Audio
Video

License

Usage and distribution terms

MiniMax M1 40K is licensed under MIT, while Muse Spark Open uses Muse Model License.

License differences may affect how you can use these models in commercial or open-source projects.

MiniMax M1 40K

MIT

Open weights

Muse Spark Open

Muse Model License

Open weights

Release Timeline

When each model was launched

MiniMax M1 40K was released on 2025-06-16, while Muse Spark Open was released on 2026-10-15.

Muse Spark Open is 16 months newer than MiniMax M1 40K.

MiniMax M1 40K

Jun 16, 2025

1.3 years ago

Muse Spark Open

Oct 15, 2026

4 days ago

1.3yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against MiniMax M1 40K and Muse Spark Open side-by-side, then vote on the output you prefer.

MiniMax M1 40K
✓ Preferred
Muse Spark Open
Open in Playground

FAQ

Common questions about MiniMax M1 40K vs Muse Spark Open.

Which is better, MiniMax M1 40K or Muse Spark Open?

Muse Spark Open leads the LLM Stats Score 45.3 to 20.0. MiniMax M1 40K is made by MiniMax and Muse Spark Open is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does MiniMax M1 40K compare to Muse Spark Open in benchmarks?

MiniMax M1 40K scores MATH-500: 96.0%, AIME 2024: 83.3%, MMLU-Pro: 80.6%, ZebraLogic: 80.1%, OpenAI-MRCR: 2 needle 128k: 76.1%. Muse Spark Open scores MCP Atlas: 89.2%, GPQA: 89.0%, OSWorld-Verified: 80.4%, BabyVision: 80.2%, Terminal-Bench 2.1: 76.4%.

What are the context window sizes for MiniMax M1 40K and Muse Spark Open?

MiniMax M1 40K supports an unknown number of tokens and Muse Spark Open supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiniMax M1 40K and Muse Spark Open?

Key differences include LLM Stats Score (20.0 vs 45.3), multimodal support (no vs yes), licensing (MIT vs Muse Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M1 40K and Muse Spark Open?

MiniMax M1 40K is developed by MiniMax and Muse Spark Open is developed by Meta.